Senior AI- Java Full Stack Developer- F2F interview

Stellent IT LLC
Denver, CO, United States
13 days ago
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Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Compensation
$89,440.0 - $135,200.0
Working hours
Regular working hours

Tech stack

Java (Programming Language) Artificial Intelligence Unix Code Generation Profiling Software Quality Continuous Integration Software Debugging DevOps Programming Tools Java Platform Enterprise Edition (J2EE) Java Virtual Machine (JVM)
+13 more
Node.Js Oracle Databases Shell Script PL-SQL SQL Databases TypeScript GitHub Copilot Prompt Engineering AngularJS Production Code Restful APIs Docker Microservices

Requirements

We are looking for a Senior Full Stack Developer AI-Assisted Development. The ideal candidate should have at least 8 years of experience and be a strong problem solver with excellent analytical reasoning and critical thinking skills. The candidate should be a forward thinker with a solution-oriented mindset and the ability to communicate ideas clearly. In addition, the ideal candidate should demonstrate strong proficiency in leveraging AI-assisted development tools (e.g., GitHub Copilot or similar coding agents) to improve development efficiency, code quality, and delivery timelines. A strong technical foundation is required to effectively generate, validate, and deliver production-ready code. Must Have Technical Skills: Hands-on experience using AI coding assistants (e.g., GitHub Copilot) for code generation, debugging, and optimization Ability to effectively write, refine, and iterate prompts to guide AI tools for development tasks Experience validating AI-generated code for accuracy, performance, and security Core Java Java EE RESTful Microservices Jersey SQL, PL/SQL Oracle Database Angular / TypeScript / Node.js HTML/CSS Deep understanding of JVM and performance profiling Nice to Have Technical Skills: Advanced usage of GitHub Copilot or other AI-based development tools and prompt engineering expertise CI/CD processes DevOps methodologies Unix / Shell scripting Docker

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